A kind of modeling method based on the Bayesian dynamic linear model for model predictive control of a nitrobenzene prefractionator. - Bingqiang Huang; Xinjian Xiang; Zhengshun Fei; Yong Gu (ASCC, 2017)

Spatially-temporally online fault detection using timed multivariate statistical logic. - Kangling Liu; Hai Lin 002; Zhengshun Fei; Jun Liang (Eng. Appl. Artif. Intell., 2017)

Constraint-based clustering by fast search and find of density peaks. - Ruhui Liu; Weiping Huang; Zhengshun Fei; Kai Wang; Jun Liang 003 (Neurocomputing, 2019)

Image Clustering: Utilizing Teacher-Student Model and Autoencoder. - Zhengshun Fei; Haibo Gong; Junhao Guo; Jinglong Wang; Wuyin Jin; Xinjian Xiang; Xiasheng Ding; Ni Zhang (IEEE Access, 2023)

A GNN Architecture With Local and Global-Attention Feature for Image Classification. - Zhengshun Fei; Junhao Guo; Haibo Gong; Lubin Ye; Eric Attahi; Bingqiang Huang (IEEE Access, 2023)

Pairwise Metric Learning With Angular Margin for Tag Recommendation. - Zhengshun Fei; Jinglong Wang; Bingqiang Huang; Xinjian Xiang (IEEE Access, 2023)

Recurrent Cross Attention Mechanism for Improved Robustness and Real-Time Performance in Lane Detection. - Bingqiang Huang; Shiqian Wang; Zhengshun Fei; Xinjian Xiang; Shaohua Tian; Fuying Tang; Tianshun Yuan (IEEE Access, 2024)

L-DeeplabV3+: a lightweight semantic segmentation algorithm for complex scene perception. - Zhengshun Fei; Kai Xin; Li Liu; Jinglong Wang; Tiandong Chen; Xinjian Xiang (J. Electronic Imaging, 2024)

Research on In-Plane Thermal Conductivity Detection of Fuel Cell Bipolar Plates Based on Laser Thermography. - Yang Li; Dexin Hou; Feng Li; Lianghui Huang; Zhihua Huang; Yuehuan Zhang; Yongping Zheng; Leipeng Song; Bingqiang Huang; Zhengshun Fei; Xinjian Xiang (Sensors, 2024)

Metric learning with adversarial hard negative samples for tag recommendation. - Jinglong Wang; Gui Chen; Kai Xin; Zhengshun Fei (J. Supercomput., 2024)

Hybrid personalized sequence recommendation based on LSTM and filter enhancement. - Zhengshun Fei; Xiangyu Qin; Haotian Zhou; Gui Chen; Xinjian Xiang (J. Supercomput., 2025)

Metric learning for recommendation with conditional generative adversarial networks based hard negative samples. - Zhengshun Fei; Xiangyu Qin; Jianxin Chen; Shuangquan Wen; Xinjian Xiang (Pattern Anal. Appl., 2025)